Quantifying the size and trends of the shadow economy in the Kingdom of Eswatini
There is a growing body of literature about the drivers, size, and trends of the shadow economy. This paper quantifies the size and assesses the trends of the shadow economy in Eswatini over a period of 16 years. Using gross domestic product as a development indicator and other macroeconomic variables from government and international institutions the paper employs a structural equation model in the form of the Multiple Indicator Multiple Cause approach to determine the drivers of the shadow economy in Eswatini as well as to quantify its size. The results show that taxation (direct and indirect), elfemployment, agricultural value added, and regulations were the causes for the development of the shadow economy in Eswatini. The results also indicate that the shadow economy in Eswatini was at 37.4 percent of the formal economy or gross domestic product in 2016. This means that the current gross domestic product of the country has been underestimated by E20.5 billion due to the exclusion of economic activities taking place outside of the formal economy when computing gross domestic product.
Keywords: Shadow economy; Multiple Indicator; Multiple Cause; Eswatini.
To assure the integrity, dissemination, and protection against copyright infringement of published articles, you will be asked to assign us, via a Publishing Agreement, the copyright in your article. Your Article is defined as the final, definitive, and citable Version of Record, and includes: (a) the accepted manuscript in its final form, including the abstract, text, bibliography, and all accompanying tables, illustrations, data; and (b) any supplemental material. Our Publishing Agreement with you will constitute the entire agreement and the sole understanding between you and us; no amendment, addendum, or other communication will be taken into account when interpreting your and our rights and obligations under this Agreement.